Which Components to Blame? Integrating Diagnosis into Monitoring of Technical Systems

Franz Wotawa*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

System monitoring is essential for detecting failures during operation and ensuring reliability. A monitoring system obtains observations and checks their consistency concerning requirements formalized as properties. However, finding property violations does not necessarily mean finding the causes. In this paper, we contribute to the latter and suggest introducing model-based diagnosis for root cause identification. We do this by adding information regarding the source of observations. Furthermore, we suggest implementing properties using ordinary programming languages from which we can obtain a formal model directly. Finally, we explain the process of integrating diagnosis into monitoring and show its value using a case study from the automotive domain.

Original languageEnglish
Title of host publicationAdvances and Trends in Artificial Intelligence. Theory and Applications
Subtitle of host publication36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, Proceedings, Part II
EditorsHamido Fujita, Yinglin Wang, Yanghua Xiao, Ali Moonis
Place of PublicationCham
PublisherSpringer Science and Business Media Deutschland GmbH
Pages33-44
Number of pages12
ISBN (Electronic)978-3-031-36822-6
ISBN (Print)9783031368219
DOIs
Publication statusPublished - 2023
Event36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: IEA/AIE 2023 - Shanghai, Online, China
Duration: 19 Jul 202322 Jul 2023
http://www.ieaaie2023.com

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13926 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
Abbreviated titleIEA/AIE 2023
Country/TerritoryChina
CityShanghai, Online
Period19/07/2322/07/23
Internet address

Keywords

  • Explaining deviations
  • Model-based diagnosis
  • System monitoring

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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